• DocumentCode
    1701882
  • Title

    Fuzzy Game-Based Real Option Analysis in Competitive Investment Situation

  • Author

    Tangsajanaphakul, Tanatch ; Watada, Junzo

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2011
  • Firstpage
    381
  • Lastpage
    384
  • Abstract
    In real option pricing, it is impractical to assume the net present value of expected cash flow payoff as an exact number because it is a forecasted vague one. The price can be defined as a fuzzy number to express its estimated uncertain values and the Binomial Tree is used to price a real option. A modified pricing approach to real options is thus proposed to transform the forecasted uncertain values evaluated by experts into some normal fuzzy numbers. Furthermore, Fuzzy Game is employed to find optimal strategy. The paper´s objective is to propose the method that fulfills the lacking competitive view in investment decision making. The approach consists of the combination of Real Option Analysis and Game Theory. The integration of these two methods helps a decision maker to view uncertainty of the project from competition perspective. A real investment case is given to illustrate the validity of the proposed approach.
  • Keywords
    decision making; fuzzy set theory; game theory; investment; pricing; trees (mathematics); binomial tree; cash flow payoff; competitive investment situation; fuzzy game-based real option analysis; fuzzy number; investment decision making; modified pricing approach; net present value; option pricing; uncertain values forecasting; Companies; Cost accounting; Games; Investments; Pricing; Production; Uncertainty; Fuzzy Game; Game theory; expected cash flow payoff; normal fuzzy number; on distance between fuzzy variables; real option pricing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4577-0817-6
  • Electronic_ISBN
    978-0-7695-4449-6
  • Type

    conf

  • DOI
    10.1109/ICGEC.2011.102
  • Filename
    6042806